This review paper explores the transformative impact of artificial intelligence (AI) on personalized medicine, highlighting its potential to revolutionize healthcare outcomes. AI technologies, including data analysis, diagnostic tools, and treatment planning, offer unprecedented opportunities for tailoring medical interventions to individual patient characteristics. AI facilitates the analysis of complex biological data, predicts disease risks, and enhances diagnostic accuracy. It also promises to expand access to high-quality healthcare and address global health disparities. However, challenges such as data privacy, bias, and regulatory hurdles must be addressed to ensure responsible integration of AI into healthcare practices. The paper emphasizes the importance of interdisciplinary collaboration, ethical considerations, and policy-making efforts in harnessing AI's potential to advance personalized medicine responsibly. Key areas discussed include AI's role in data analysis, diagnostic tools, treatment planning, and wearable technology for remote monitoring. The future prospects of AI in personalized medicine are promising, with advancements in AI technology expected to enhance precision and efficacy, while expanding access and fostering interdisciplinary collaboration are crucial for realizing these benefits.This review paper explores the transformative impact of artificial intelligence (AI) on personalized medicine, highlighting its potential to revolutionize healthcare outcomes. AI technologies, including data analysis, diagnostic tools, and treatment planning, offer unprecedented opportunities for tailoring medical interventions to individual patient characteristics. AI facilitates the analysis of complex biological data, predicts disease risks, and enhances diagnostic accuracy. It also promises to expand access to high-quality healthcare and address global health disparities. However, challenges such as data privacy, bias, and regulatory hurdles must be addressed to ensure responsible integration of AI into healthcare practices. The paper emphasizes the importance of interdisciplinary collaboration, ethical considerations, and policy-making efforts in harnessing AI's potential to advance personalized medicine responsibly. Key areas discussed include AI's role in data analysis, diagnostic tools, treatment planning, and wearable technology for remote monitoring. The future prospects of AI in personalized medicine are promising, with advancements in AI technology expected to enhance precision and efficacy, while expanding access and fostering interdisciplinary collaboration are crucial for realizing these benefits.